Get to Know Me

An engineer driven by a clear professional purpose: using AI, data, and software engineering to solve real-world problems at scale. Work sits at the intersection of artificial intelligence, data-driven systems, and applied software engineering, with a strong focus on building practical solutions that improve how critical systems operate. Previously worked extensively in the health sector, leveraging data and AI to address supply chain challenges in Tanzania through collaboration with the Ministry of Health, JSI, and Afya Intelligence. Currently applying these skills to intelligent transportation systems research at the University of North Florida. Across every role and sector, one theme remains constant: making measurable impact through technology.

Jacksonville, FL, USA

Education

Master of Science – Computing & Information Sciences (Data Science Thesis Track)

Current

University of North Florida (UNF) | Jacksonville, FL, USA

Jan 2026 – Present

Full tuition scholarship and stipend via Graduate Research Assistantship. Research focus: applied AI, forecasting, and computer vision for transportation systems.

Skills

PythonSQLTypeScriptReactNext.jsFastAPIPostgreSQLpandasExcelMachine Learning & ForecastingXGBoostLightGBMCatBoostScenario & Sensitivity AnalysisComputer Vision & TrackingYOLOByteTrackCVATData Engineering & ETLDashboards & VisualizationData Quality & AnalyticsTechnical Writing & Research

Experience

Graduate Research Assistant - AI & Data Science

Current

University of North Florida - Transportation Research Laboratory | Jacksonville, FL, USA

Jan 2026 - Present

ActiveVision Roadway Incident Evaluation: In collaboration with FDOT District 2, built and deployed a full-stack roadway-incident dashboard with daily data ingestion, quality checks, and analytics for duration, false alarms, correlations, and maps.
TEU Volume Forecasting: In collaboration with Crowley Maritime, developed import/export forecasting and scenario-analysis workflows across 12-60-month horizons using sparse-demand models and macroeconomic drivers.
Wrong-Way Driving Detection: Developed an FDOT District 2 side project under ActiveVision Roadway Incident Evaluation: a traceable YOLO/ByteTrack workflow with camera-shift safeguards, roadwork context, and vehicle-role classification; manual review found correct direction in 27/27 replay runs.
Stadium Events Systems Evaluation: In collaboration with North Florida TPO and FDOT District 2, conducting an ongoing independent evaluation of DERQ, Omnisight, SpotGenius, and Modii using ground truth and vendor-reported results.

Leadership and Roles

Software Development Facilitator

Youth for Children (Y4C) Innovation Hub | Full-time | Dar es Salaam, Tanzania

Dec 2023 – Aug 2024

Guided project teams and developed and maintained the hub's website.

Technical Writer

UDSM AI Community | Full-time | Dar es Salaam, Tanzania (on-site)